{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,2]],"date-time":"2025-05-02T11:58:46Z","timestamp":1746187126090,"version":"3.28.0"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,4]],"date-time":"2022-12-04T00:00:00Z","timestamp":1670112000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,4]],"date-time":"2022-12-04T00:00:00Z","timestamp":1670112000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,4]]},"DOI":"10.1109\/ssci51031.2022.10022262","type":"proceedings-article","created":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T20:05:39Z","timestamp":1675109139000},"page":"1066-1073","source":"Crossref","is-referenced-by-count":3,"title":["Periodic Extrapolative Generalisation in Neural Networks"],"prefix":"10.1109","author":[{"given":"Peter","family":"Belcak","sequence":"first","affiliation":[{"name":"ETH Zürich,Zürich,Switzerland"}]},{"given":"Roger","family":"Wattenhofer","sequence":"additional","affiliation":[{"name":"ETH Zürich,Zürich,Switzerland"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Fact: Learning governing abstractions behind integer sequences","author":"Belcak","year":"2022","journal-title":"arXiv preprint"},{"key":"ref2","article-title":"Deep symbolic regression for recurrent sequences","author":"dAscoli","year":"2022","journal-title":"arXiv preprint"},{"volume-title":"Automatic model construction with Gaussian processes","year":"2014","author":"Duvenaud","key":"ref3"},{"key":"ref4","first-page":"1166","article-title":"Structure discovery in nonparametric regression through compositional kernel search","volume-title":"International Conference on Machine Learning","author":"Duvenaud","year":"2013"},{"key":"ref5","article-title":"Sharpness-aware minimization for efficiently improving generalization","author":"Foret","year":"2020","journal-title":"arXiv preprint"},{"key":"ref6","article-title":"A tutorial on bayesian optimization","author":"Frazier","year":"2018","journal-title":"arXiv preprint"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICNN.1988.23903"},{"key":"ref8","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume-title":"Proceedings of the thirteenth international conference on artificial intelligence and statistics","author":"Glorot","year":"2010"},{"volume-title":"Deep learning","year":"2016","author":"Goodfellow","key":"ref9"},{"journal-title":"beta-vae: Learning basic visual concepts with a constrained variational framework","year":"2016","author":"Higgins","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref12","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv preprint"},{"key":"ref13","article-title":"Conditional generation of periodic signals with fourier-based decoder","author":"Lee","year":"2021","journal-title":"arXiv preprint"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLC.2013.6890482"},{"journal-title":"Taming the waves: sine as activation function in deep neural networks","year":"2016","author":"Parascandolo","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.1999.831544"},{"key":"ref17","article-title":"How neural networks extrapolate: From feedforward to graph neural networks","author":"Xu","year":"2020","journal-title":"arXiv preprint"},{"key":"ref18","article-title":"Fourier neural networks: A comparative study","author":"Zhumekenov","year":"2019","journal-title":"arXiv preprint"},{"key":"ref19","first-page":"1583","article-title":"Neural networks fail to learn periodic functions and how to fix it","volume":"33","author":"Ziyin","year":"2020","journal-title":"Advances in Neural Information Processing Systems"}],"event":{"name":"2022 IEEE Symposium Series on Computational Intelligence (SSCI)","start":{"date-parts":[[2022,12,4]]},"location":"Singapore, Singapore","end":{"date-parts":[[2022,12,7]]}},"container-title":["2022 IEEE Symposium Series on Computational Intelligence (SSCI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10022049\/10022014\/10022262.pdf?arnumber=10022262","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T08:05:54Z","timestamp":1707811554000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10022262\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,4]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/ssci51031.2022.10022262","relation":{},"subject":[],"published":{"date-parts":[[2022,12,4]]}}}